{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T21:45:36Z","timestamp":1762033536591,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":1,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,8,15]],"date-time":"2018-08-15T00:00:00Z","timestamp":1534291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DBI1759934"],"award-info":[{"award-number":["DBI1759934"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000098","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01GM093123"],"award-info":[{"award-number":["R01GM093123"]}],"id":[{"id":"10.13039\/100000098","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,8,15]]},"DOI":"10.1145\/3233547.3233716","type":"proceedings-article","created":{"date-parts":[[2018,8,24]],"date-time":"2018-08-24T12:05:17Z","timestamp":1535112317000},"page":"565-565","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["DeepSF"],"prefix":"10.1145","author":[{"given":"Jie","family":"Hou","sequence":"first","affiliation":[{"name":"University of Missouri, Columbia, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Badri","family":"Adhikari","sequence":"additional","affiliation":[{"name":"University of Missouri, St. Louis, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianlin","family":"Cheng","sequence":"additional","affiliation":[{"name":"University of Missouri, Columbia, MO, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,8,15]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3233547.3233716"}],"event":{"name":"BCB '18: 9th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","sponsor":["SIGBio ACM Special Interest Group on Bioinformatics"],"location":"Washington DC USA","acronym":"BCB '18"},"container-title":["Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3233547.3233716","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3233547.3233716","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3233547.3233716","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:07:11Z","timestamp":1750212431000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3233547.3233716"}},"subtitle":["Deep Convolutional Neural Network for Mapping Protein Sequences to Folds"],"short-title":[],"issued":{"date-parts":[[2018,8,15]]},"references-count":1,"alternative-id":["10.1145\/3233547.3233716","10.1145\/3233547"],"URL":"https:\/\/doi.org\/10.1145\/3233547.3233716","relation":{},"subject":[],"published":{"date-parts":[[2018,8,15]]},"assertion":[{"value":"2018-08-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}